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Shapeshifter is a freeware clipboard manager, originally developed by the defunct company Flamefusion and made open-sourced on GitHub later. It allows users to have several items in the Windows clipboard, which is normally limited to one single item.
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Explore the main themes, entities and connections around Shapeshifter (software). Start with the topic map, then use the sections below for research and deeper semantic analysis.
Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the full topic structure. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
See the strongest relationship patterns around the current topic before diving into the raw triples.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
clipboard shapeshifter manager windows github flamefusion freeware originally developed defunct company made open-sourced later allows users several items normally limited
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Shapeshifter (software) | Developer | Flamefusion | 1.00 | infobox |
| Shapeshifter (software) | License | CC BY-NC | 1.00 | infobox |
| Shapeshifter (software) | Operating system | Microsoft Windows | 1.00 | infobox |
| Shapeshifter (software) | Preview release | 6 (6.1.1990) / October 14, 2016; 9 years ago (2016-10-14) | 1.00 | infobox |
| Shapeshifter (software) | Repository | github.com/ffMathy/Shapeshifter | 1.00 | infobox |
| Shapeshifter (software) | Stable release | 5 (5.0.107) / September 18, 2016; 9 years ago (2016-09-18) | 1.00 | infobox |
| Shapeshifter (software) | Type | Clipboard manager | 1.00 | infobox |
| Shapeshifter (software) | Website | shapeshifter.app | 1.00 | infobox |
These clusters group vocabulary that occurs around closely connected concepts in the source material.
Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.